Contributors

- Objectives
- Compilation of learning materials
- Potential Use Cases
- Speed up your learning by finding topics aggregated in one place
- Who is This For ?
- BEGINNERBeginner Data Scientist/Machine Learning Engineer interested in learning the basics of content based recommender system

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BOOK_CHAPTER 1. Recommender Systems: The Textbook

- What exactly is a content based recommender system?
- What are some examples where they can be useful?

20 minutes

BOOK_CHAPTER 2. Recommender Systems: The Textbook

- What is the importance of feature reduction and how can this be accomplished?

10 minutes

BOOK_CHAPTER 3. Recommender Systems: The Textbook

- What are some examples of measures of discriminative power?

20 minutes

BOOK_CHAPTER 4. Recommender Systems: The Textbook

- What models are useful in content based recommender systems?

30 minutes

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